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Data profiles:



France
Student performance (PISA 2022)
  • In mathematics, the main topic of PISA 2022, 15-year-olds in score 474 points compared to an average of 472 points in OECD countries.
  • On average, 15-year-olds score 474 points in reading compared to an average of 476 points in OECD countries.
  • In France, the average performance in science of 15-year-olds is 487 points, compared to an average of 485 points in OECD countries.
  • In France, 71% of students attained at least Level 2 proficiency in mathematics, significantly more than on average across OECD countries (OECD average: 69%). At a minimum, these students can interpret and recognize, without direct instructions, how a simple situation can be represented mathematically.
  • Some 7% of students in France were top performers in mathematics, meaning that they attained Level 5 or 6 in the PISA mathematics test (OECD average: 9%).
  • In France socio-economically advantaged students (the top 25% in terms of socio-economic status) outperformed disadvantaged students (the bottom 25%) by 113 score points in mathematics. This is larger than the average difference between the two groups (93 score points) across OECD countries.
  • As in other PISA participating countries and economies, socio-economic status was a predictor of performance in mathematics, it accounted for 21% of the variation in mathematics performance in PISA 2022 in France (compared to 15% on average across OECD countries).
  • Some 7% of disadvantaged students in France were able to score in the top quarter of mathematics performance (OECD average: 10%). These students can be considered academically resilient.
  • Boys outperformed girls in mathematics by 10 score points; girls outperformed boys in reading by 20 score points in France. Globally, in mathematics, boys outperformed girls in 40 countries and economies, girls outperformed boys in another 17 countries or economies. In reading, girls, on average, scored above boys in all but two countries and economies that participated in PISA 2022 (79 out of 81).
  • Immigrant students in France tend to have a more disadvantaged socio-economic profile than non-immigrant students; while 25% of all students are considered socio-economically disadvantaged, the corresponding share among students with an immigrant background is 48%.
  • In mathematics, the average difference in performance between immigrant and non-immigrant students was 51 score points in favour of non-immigrant students, a significant difference. After accounting for students' socio-economic profile, a significant difference of 17 score points in favour of non-immigrant students was observed.
  • In France, 36% of students reported that their school building was closed for more than three months due to COVID-19. On average across OECD countries, 51% of students experienced similarly long school closures. In education systems where performance remained high and students' sense of belonging improved, fewer students experienced longer school closures.
  • In France, 97% reported that they had attended pre-primary education for one year or more (OECD average: 94%).
  • Some 11% of students in France reported that they had repeated a grade at least once (OECD average: 9%) after entering primary school. Grade repetition tends to be less prevalent in high performing systems.
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    The following list displays indicators for which your selected country shows the highest and lowest values among countries. The list can be sorted by level of education or by age group. All rankings are calculated including available data from OECD and partner countries. Find out more about the methodology here.

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    Student performance in mathematics

    Over the period of participation in PISA, the average decennial rate of change in mean mathematics performance of France was among the lowest. (-14 PISA Score, rank 28/37 , 2022) Download Indicator

    Students' engagement, drive and self-beliefs

    The time spent on homework per day in a typical school week in France is long compared to the other OECD and partner countries/economies. (2 Hours, rank 6/80 , 2022) Download Indicator

    France had one of the smallest shares of students who agree or strongly agree they like school work that is challenging. (25.9 %, rank 72/72 , 2022) Download Indicator

    France had one of the most frequent shares of students whose teacher asked them to explain their reasoning when solving a math problem, in more than half of the lessons at least. (54.9 %, rank 8/79 , 2022) Download Indicator

    In France, the likelihood of students connecting new material to prior lessons (at least half of the time) with a one-unit increase in the cooperation index is one of the lowest among countries and economies in PISA (after accounting for students' and schools' socio-economic profile and performance in mathematics). (1.22 Ratio, rank 32/37 , 2022) Download Indicator

    Learning strategies

    France had one of the lowest shares of students who try to connect new material to what they have learned in previous math lessons, more than half the time. (36.1 %, rank 71/79 , 2022) Download Indicator

    Students’ predispositions to learning

    France had one of the largest differences in the share of students that try to connect new material to what they have learned previously in math between students in the top and bottom quarters of the index of math anxiety. (-11.4 % points, rank 7/73 , 2022) Download Indicator

    Confidence in mathematics: Preparing for the future

    France had one of the highest shares of students who feel confident in extracting mathematical information from diagrams, graphs, or simulations. (79.4 %, rank 1/75 , 2022) Download Indicator

    France had one of the highest shares of students who feel confident in interpreting mathematical solutions in the context of a real-life challenge. (69.1 %, rank 1/75 , 2022) Download Indicator

    Performance and socio-economic status

    The variance of results in mathematics is strongly associated with the socio-economic status of students, as measured by the PISA index of economic, social and cultural status (ESCS). (21.5 %, rank 6/79 , 2022) Download Indicator

    France has one of the highest differences in mathematics performance between students in the top quarter and students in the bottom quarter of the economic, social and cultural status index (ESCS). (113 PISA Score, rank 9/79 , 2022) Download Indicator

    France is one of the countries where the relationship between reading performance and socio-economics status (ESCS) is the strongest. (17.1 %, rank 10/79 , 2022) Download Indicator

    The difference in science performance associated with a one-unit increase in the PISA index of economic, social and cultural status (ESCS) is one of the largest among PISA-participating countries and economies. (50 PISA Score, rank 5/79 , 2022) Download Indicator

    Performance and diversity

    The difference in mathematics performance between students enrolled in general or modular programmes and those in pre-vocational or vocational programmes is relatively large in France, after accounting for students' and schools' socio-economic profile. (45 PISA Score points, rank 5/38 , 2022) Download Indicator

    Resources for education

    The change between 2012 and 2022 in the number of computers per student at schoolin France is large compared to the other OECD and partner countries. (0.38 Ratio, rank 3/40 , 2022) Download Indicator

    Teachers

    After accounting for students' and schools' socio-economic profile, France has one of the largest differences in mathematics performance per 10 percentage-points increase in the share of teachers fully certified by the appropriate authority. (3 PISA Score points, rank 3/18 , 2022) Download Indicator

    Teachers' practices

    Students in France perceived their teachers as being less supportive compared to other PISA-participating countries and economies. (-0.3 %, rank 73/79 , 2022) Download Indicator

    The percentage of students reporting that their teacher gives extra help when students need it, in most or every mathematics lessons, is relatively low in France compared to other OECD and partner countries/economies. (62.4 %, rank 71/79 , 2022) Download Indicator

    Governance

    Between 2018 and 2022, France recorded a particularly small change in the share of 15-year-old students attending government or public schools, compared to the other OECD and partner countries/economies. (-5.2 %, rank 13/15 , 2022) Download Indicator

    The difference in mathematics performance associated with a one-unit increase in the index of school selectivity is relatively small in France, after accounting for students' and schools' socio-economic profile. (-5 PISA Score points, rank 21/23 , 2022) Download Indicator

    In France, the educational leadership is particularly limited compared to the other OECD and partner countries/economies. (-0.8 PISA Index, rank 75/75 , 2022) Download Indicator

    France has a relatively low percentage of students in schools whose principal reported that there are two or more other schools in this area that compete for these students. (38.9 %, rank 75/80 , 2022) Download Indicator

    COVID-19 effects on education

    France is one of the OECD and partner countries/economies with the highest level of assertiveness, as measured by the PISA index of assertiveness. (0.19 PISA Index, rank 2/45 , 2022) Download Indicator

    In France, the schools were relatively badly prepared for remote instruction after the pandemic, compared to other OECD and partner countries/economies. (-0.57 PISA Index, rank 45/48 , 2022) Download Indicator

    Schools in France developed few actions and activities to maintain learning, compared to other OECD and partner countries/economies. (-0.31 PISA Index, rank 72/77 , 2022) Download Indicator

    France ranked among the countries where students reported a relatively strong feeling of confidence in their capacity for self-directed learning, compared to the other OECD and partner countries/economies. (0.19 PISA Index, rank 9/76 , 2022) Download Indicator

    The difference between boys and girls in the confidence they have on their capacity to drive self-directed learning is one of the smallest among countries participating in PISA (-0.16 PISA Index, rank 22/30 , 2022) Download Indicator


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    General findings
    
                            
    • Singapore scored significantly higher than all other countries/economies in mathematics (575 points) and, along with Hong Kong (China), Japan, Korea, Macao (China), and Chinese Taipei, outperformed all other countries and economies in mathematics. Another 17 countries also performed above the OECD average (472 points), ranging from Estonia (510 points) to New Zealand (479 points).
    • Boys outperformed girls in mathematics by nine score points and girls outperformed boys in reading by 24 score points on average across OECD countries. In science, the performance difference between boys and girls is not significant.
    • An average of 69% of students are at least basically proficient in mathematics in OECD countries. This means they are beginning to demonstrate the ability and initiative to use mathematics in simple real-life situations.
    • In 16 out of 81 countries/economies participating in PISA 2022, more than 10% of students attained Level 5 or 6 proficiency, meaning they are high-performing: they understand that a problem is quantitative in nature and can formulate complex mathematical models to solve it. By contrast, less than 5% of students are high-performing in 42 countries/economies.
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    • Singapore scored significantly higher than all other countries/economies in reading (543 points) and science (561 points). Behind Singapore, Ireland performed as well as Estonia, Japan, Korea and Chinese Taipei while another 14 education systems performed above the OECD average in reading (476 points), ranging from Macao (China) (510 points) to Italy (482 points).
    • About three out of four students have achieved basic proficiency in reading in OECD countries.
    • In reading, an OECD average of 7% of students attained the highest proficiency levels of 5 or 6. In 13 countries/economies, more than 10% of students are top performers in reading.
    • No change in the OECD average over consecutive PISA assessments up to 2018 has ever exceeded five points in reading: in PISA 2022, however, the OECD average dropped by about 10 score points in reading compared to PISA 2018.. The unprecedented drops reading point to the shock effect of COVID-19 on most countries.
    • Only four countries and economies improved their performance between PISA 2018 and 2022 in all three subjects: Brunei Darussalam, Cambodia, the Dominican Republic and Chinese Taipei.
    • Trend analysis of PISA results reveals a decades-long decline that began well before the pandemic. In reading, performances peaked in 2012 and 2009, respectively, before dipping while performance began a downward descent in mathematics before 2018 in Australia, Belgium, Canada, the Czech Republic, Finland, Hungary, Iceland, Korea, the Netherlands, New Zealand, the Slovak Republic and Switzerland.
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    • Mean performance in science remained stable.
    • In science, the highest-performing education systems are Singapore, Japan, Macao (China), Chinese Taipei, Korea, Estonia, Hong Kong (China) and Canada. Finland performed as well as Canada in science. In addition to these nine countries and economies, another 15 education systems also performed above the OECD average in science (485 points), ranging from Australia (507 points) to Belgium (491 points).
    • About three out of four students have achieved basic proficiency science in OECD countries.
    • In science, an OECD average of 7% of students attained the highest proficiency levels of 5 or 6. In 14 countries/economies, more than 10% of students are top performers in science.
    • Only four countries and economies improved their performance between PISA 2018 and 2022 in all three subjects: Brunei Darussalam, Cambodia, the Dominican Republic and Chinese Taipei.
    • Trend analysis of PISA results reveals a decades-long decline that began well before the pandemic. In science, performances peaked in 2012 and 2009, respectively, before dipping. while performance began a downward descent in mathematics before 2018 in Australia, Belgium, Canada, the Czech Republic, Finland, Hungary, Iceland, Korea, the Netherlands, New Zealand, the Slovak Republic and Switzerland.
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    • Socio-economically advantaged students scored 93 points more in mathematics than disadvantaged students on average across OECD countries. The performance gap attributed to students' socio-economic status is greater than 93 score points in 22 countries or economies and 50 points or fewer in 13 countries or economies.
    • Boys outperformed girls in mathematics by nine score points and girls outperformed boys in reading by 24 score points on average across OECD countries. In science, the performance difference between boys and girls is not significant.
    • Non-immigrant students scored 29 points more than immigrant students in mathematics on average across OECD countries but non-immigrant students scored only five points more than immigrant students once socio-economic status and language spoken at home had been accounted for.
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    • Between 2018 and 2022 trends in students' sense of belonging at school were mixed, with equal proportions of countries/economies showing stable, improving or deteriorating trends. Of the 47 education systems with improving or stable trends, only 20 maintained or attained a level of students' sense of belonging at school that was at or above the OECD average. 
    • Around 10% of students reported feeling unsafe on their way to or from school, or in places outside of the classroom, on average across OECD countries. Some 20% of students reported that they are bullied at least a few times a month.
    • Overall, students felt more confident about using digital technology for learning remotely during future school closures than they felt about taking responsibility for their own learning. For instance, on average across OECD countries, about three out of four students reported that they feel confident or very confident about using a learning-management system, a school learning platform or a video communication program, as well as about finding learning resources online on their own.
    • Students' experience with learning at home was more positive in systems that were better prepared for remote learning. However, when learning remotely, 40% of all students reported feeling lonely and 50% of all students reported feeling anxious about schoolwork and that they fell behind in their studies; and three in ten students reported that teachers were not available when needed, on average across OECD countries. 
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    • Singapore, Korea, Canada, Australia, New Zealand, Estonia and Finland are the highest-performing systems in creative thinking, significantly above the OECD average. Students in Singapore score 41 points on average in creative thinking.
    • There is a large performance gap in creative thinking between the highest-performing and lowest-performing country of 28 score points – or around four proficiency levels. 97 out of 100 students in the five best-performing countries performed above the average student in the five lowest performing countries.
    • Academic excellence is not a pre-requisite for excellence in creative thinking. While around half of all students who performed at the highest level in creative thinking performed at the highest level in mathematics, similar proportions of students within the third quintile of creative thinking performance scored within the second, third and fourth quintiles, respectively, in mathematics. However, very few students below a baseline proficiency in mathematics excelled in creative thinking.
    • In no country or economy did boys outperform girls in creative thinking, with girls scoring 3 points higher in creative thinking on average across the OECD. The gender gap is significant in all countries/economies after accounting for mathematics performance and in around half of all countries/economies even after accounting for students’ reading performance.
    • Students with higher socio-economic status performed better in creative thinking, with advantaged students scoring around 9.5 points higher than their disadvantaged peers on average across the OECD. In general, the strength of the association between socio-economic status and performance is weaker in creative thinking than it is for mathematics, reading and science.
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    • Asking questions is key to learning. However, less than half of students ask questions often when they don’t understand something in mathematics class.
    • Critical thinking is a vital learning strategy. It involves considering other perspectives before forming one’s own opinion. Less than 60% of students employ critical-thinking strategies on average.
    • Connecting new knowledge with existing knowledge is crucial. Yet, less than half of students report doing this regularly in mathematics lessons.
    • Intrinsic motivation predicts the use of learning strategies. Only around half of students report being intrinsically motivated to learn new things in school.
    • Growth mindsets are linked to positive learning strategies and outcomes. While 58% report a general growth mindset, fewer students feel this way specifically about mathematics.
    • Most students feel confident finding information online, but judging the quality of that information remains a challenge, especially for lower performers.
    • Proactive learners who connect new material with prior knowledge and stay engaged in the classroom are most confident in their mathematics skills for the 21st century.
    • Only about a third of students are exposed to 21st-century mathematics tasks, such as applying solutions to real-life situations. Practices like exploring different problem-solving methods are associated with increased confidence in these skills.
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    Key
    Diagram of funding flows - France

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    Key
    Country Reviews for France

    Note: These values should be interpreted with care since they are influenced by countries' specific contexts and trade-offs. In education, there is often no simple most- or least-efficient model. For instance, the share of private expenditure in education must be read against other measures designed to mitigate inequities, such as loans and grants; longer learning time is an opportunity to convey more and better content to students, but may hinder investments in other important areas. If you want further information on the nature of different variables, please take the time to read the analysis and contextual information, available at the website for each publication.
    All rankings for individual variables are compiled on the basis of OECD and G20 countries for which data are available. The OECD average includes only OECD countries which are listed here: http://www.oecd.org/about/membersandpartners/

    Reference years displayed in the Education GPS correspond to the most common year of reference among countries for which data is available on each variable. Data for the latest available year is preferred and some countries may have provided data refering to a more recent or late year. To know more about possible exceptions on data please click on the "Download Indicator" link on each variable. When a year of reference corresponds to a school year encompassing two years, the reference reads as follows: 2018 for school year 2017/2018.

    *TALIS averages are based on all countries participating in the TALIS survey, including partner countries and economies. This explains the difference between the OECD average and the TALIS averages. Data from the TALIS survey and Education at a Glance (EAG) may differ. See Annex E of the TALIS technical report and Annex 3 of EAG 2021 for more details about the data collections.

    B-S-J-Z (China) refers to the four PISA-participating provinces/municipalities of the People's Republic of China: Beijing, Shanghai, Jiangsu and Zhejiang.

    For additional notes, please refer to annexes in the list of links below the introductory country profile text.